IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
US-0604494
(2006-11-27)
|
등록번호 |
US-8241211
(2012-08-14)
|
발명자
/ 주소 |
- Stupp, Steven Elliot
- Carpenter, Chris
- Newman, Lawrence
- Lanckriet, Gert
|
출원인 / 주소 |
- Trigeminal Solutions, Inc.
|
대리인 / 주소 |
|
인용정보 |
피인용 횟수 :
2 인용 특허 :
47 |
초록
▼
An apparatus, and related method, for determining one or more association variables is described. The apparatus includes at least one processor, at least one memory, and at least one program module. The program module is stored in the memory and is configurable to be executed by the processor. The p
An apparatus, and related method, for determining one or more association variables is described. The apparatus includes at least one processor, at least one memory, and at least one program module. The program module is stored in the memory and is configurable to be executed by the processor. The program module includes instructions for determining a statistical relationship between one or more temporal onsets corresponding to one or more events and a pattern of occurrence of a compound variable. The compound variable corresponds at least to a pattern of occurrence of a first variable and a pattern of occurrence of a second variable. The determining includes contributions from presence and absence information in the pattern of occurrence of the compound variable.
대표청구항
▼
1. A computer-implemented method for determining one or more migraine triggers associated with one or more migraines, comprising: determining, using the computer, a statistical relationship between one or more temporal onsets associated with one or more events and a pattern of occurrence of a compou
1. A computer-implemented method for determining one or more migraine triggers associated with one or more migraines, comprising: determining, using the computer, a statistical relationship between one or more temporal onsets associated with one or more events and a pattern of occurrence of a compound variable, wherein the one or more events include the one or more migraines experienced by at least one individual, wherein the compound variable corresponds at least to a pattern of occurrence of a first variable and a pattern of occurrence of a second variable, and wherein the statistical relationship includes contributions from presence and absence information in the pattern of occurrence of the compound variable; andidentifying, via a processor, the first variable and the second variable as the migraine triggers based on the statistical relationship. 2. The method of claim 1, wherein the pattern of occurrence of the first variable is during a first set of time intervals and the pattern of occurrence of a second variable is during a second set of time intervals, and wherein a respective time interval in a respective set of time intervals, which can include the first set of time intervals or the second set of time intervals, precedes a respective temporal onset in the one or more temporal onsets. 3. The method of claim 2, wherein time intervals in at least one of the first set of time intervals and the second set of time intervals are offset in time from the one or more temporal onsets. 4. The method of claim 2, wherein time intervals in the first set of time intervals are different than time intervals in the second set of time intervals. 5. The method of claim 1, further comprising receiving information including the one or more temporal onsets associated with the one or more events and the pattern of occurrence of the compound variable. 6. The method of claim 1, wherein the determining uses a non-parametric statistical analysis technique including a chi-square analysis technique, a log-likelihood ratio analysis technique, or a Fisher's exact probability analysis technique. 7. The method of claim 1, wherein the determining uses a supervised learning technique including a support vector machines (SVM) analysis technique, a shrinkage and regression technique, or a classification and regression tree (CART) analysis technique. 8. The method of claim 1, wherein the pattern of occurrence of the first variable and the pattern of occurrence of the second variable comprise categorical data, and wherein a respective entry in the pattern of occurrence of the compound variable is determined by performing a logical operation on corresponding entries in the pattern of occurrence of the first variable and the pattern of occurrence of the second variable. 9. The method of claim 8, wherein the logical operation is a Boolean operation selected from a group consisting of AND, OR, NOT and XOR. 10. The method of claim 1, further comprising determining statistical relationships for a plurality of compound variables, wherein a respective compound variable in the plurality of compound variables corresponds to patterns of occurrence of at least two variables in a set of variables, one of at least the two variables occurring during one set of time intervals and another of at least the two variables occurring during another set of time intervals, and wherein a respective time interval in a respective set of time intervals, which can include the set of time intervals or the other set of time intervals, precedes a respective temporal onset in the one or more temporal onsets. 11. The method of claim 10, further comprising determining a ranking of the variables in the set of variables based on aggregate properties of the variables in at least a subset of the plurality of the compound variables, wherein the statistical relationships associated with at least the subset of the plurality of the compound variables exceed a statistical confidence threshold. 12. The method of claim 11, wherein the aggregate properties include the number of occurrences of the variables in at least the subset of the plurality of the compound variables. 13. The method of claim 1, wherein the pattern of occurrence of the first variable and the pattern of occurrence of the second variable include presence and absence information. 14. The method of claim 1, further comprising identifying one or more additional migraine triggers of at least the one individual based on the presence of the identified migraine triggers in one or more groups of migraine triggers that were previously determined for one or more other individuals. 15. The method of claim 1, wherein one or more of the migraine triggers at least in part induce a migraine in at least the one individual if at least the one individual is exposed to one or more of the migraine triggers. 16. A computer-implemented method for determining one or more migraine triggers associated with one or more migraines, comprising: receiving a first data stream including one or more temporal onsets associated with one or more events, a pattern of occurrence of a first variable and a pattern of occurrence of a second variable, wherein the one or more events include the one or more migraines experienced by at least one individual;identifying, using the computer, the one or more migraine triggers associated with the one or more migraines based on a statistical relationship between the one or more temporal onsets and a pattern of occurrence of a compound variable, the compound variable corresponding at least to the pattern of occurrence of the first variable and the pattern of occurrence of the second variable, and wherein the statistical relationship includes contributions from presence and absence information in the pattern of occurrence of the compound variable; andtransmitting a second data stream including information that identifies the first variable and the second variables as the migraine triggers. 17. The method of claim 16, wherein the one or more migraine triggers are identified based on statistical relationships between the one or more temporal onsets and patterns of occurrence of a plurality of compound variables, wherein a respective compound variable in the plurality of compound variables corresponds to patterns of occurrence of at least two variables in a set of variables, one of at least the two variables occurring during one set of time intervals and another of at least the two variables occurring during another set of time intervals, andwherein a respective time interval in a respective set of time intervals, which can include the set of time intervals or the other set of time intervals, precedes a respective temporal onset in the one or more temporal onsets. 18. The method of claim 17, wherein the one or more migraine triggers are identified based on a ranking of the variables in the set of variables based on aggregate properties of the variables in at least a subset of the plurality of the compound variables, and wherein the statistical relationships of at least the subset of the plurality of the compound variables exceed a statistical confidence threshold. 19. The method of claim 16, further comprising identifying one or more additional migraine triggers of at least the one individual based on the presence of the identified migraine triggers in one or more groups of migraine triggers that were previously determined for one or more other individuals. 20. The method of claim 16, wherein one or more of the migraine triggers at least in part induce a migraine in at least the one individual if at least the one individual is exposed to one or more of the migraine triggers.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.